Reliable Parkinson’s Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System Based on Feature Selection and Adaptive Boosting Model-Reference-Cited by-同舟云学术

Reliable Parkinson’s Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System Based on Feature Selection and Adaptive Boosting Model

Published:2019 Issue: Volume:7 Page:116480-116489
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ali Liaqat^ORCID,Zhu Ce,Golilarz Noorbakhsh Amiri,Javeed Ashir,Zhou Mingyi,Liu Yipeng^ORCID

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08781770.pdf?arnumber=8781770

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